import asyncio
import aiohttp
from typing import Dict, Any, List

from .ai_base import BaseAIService, GenerationRequest, GenerationResponse, AIServiceProvider, AIServiceType, TaskStatus

class OpenAIService(BaseAIService):
    """OpenAI DALL-E 服务实现"""
    
    def __init__(self, config: Dict[str, Any]):
        super().__init__(config)
        self.api_key = config.get("api_key")
        self.base_url = config.get("base_url", "https://api.openai.com/v1")
        
    def get_provider_name(self) -> AIServiceProvider:
        return AIServiceProvider.OPENAI_DALLE
    
    def get_supported_services(self) -> List[AIServiceType]:
        return [AIServiceType.IMAGE_GENERATION, AIServiceType.IMAGE_EDITING]
    
    async def generate_image(self, request: GenerationRequest) -> GenerationResponse:
        """调用DALL-E生成图片"""
        headers = {
            "Authorization": f"Bearer {self.api_key}",
            "Content-Type": "application/json"
        }
        
        # 根据请求参数构建DALL-E请求
        dalle_request = {
            "prompt": request.prompt,
            "n": request.params.get("n", 1),
            "size": request.params.get("size", "1024x1024"),
            "quality": request.params.get("quality", "standard"),
            "model": request.params.get("model", "dall-e-3")
        }
        
        try:
            async with aiohttp.ClientSession() as session:
                async with session.post(
                    f"{self.base_url}/images/generations",
                    headers=headers,
                    json=dalle_request
                ) as response:
                    if response.status == 200:
                        result = await response.json()
                        image_url = result["data"][0]["url"]
                        
                        return GenerationResponse(
                            success=True,
                            result_url=image_url,
                            metadata={
                                "provider": self.provider,
                                "model": dalle_request["model"],
                                "revised_prompt": result["data"][0].get("revised_prompt"),
                                "size": dalle_request["size"]
                            },
                            cost=self.calculate_cost(request)
                        )
                    else:
                        error_data = await response.json()
                        return GenerationResponse(
                            success=False,
                            error_message=error_data.get("error", {}).get("message", "Unknown error")
                        )
                        
        except Exception as e:
            return GenerationResponse(
                success=False,
                error_message=f"OpenAI API调用失败: {str(e)}"
            )
    
    async def generate_video(self, request: GenerationRequest) -> GenerationResponse:
        """OpenAI目前不支持视频生成"""
        return GenerationResponse(
            success=False,
            error_message="OpenAI DALL-E不支持视频生成"
        )
    
    async def edit_image(self, request: GenerationRequest, image_url: str) -> GenerationResponse:
        """使用DALL-E编辑图片"""
        headers = {
            "Authorization": f"Bearer {self.api_key}",
        }
        
        # 注意：DALL-E的图片编辑需要上传图片文件，这里简化处理
        # 实际实现需要先下载图片，然后作为文件上传
        try:
            # TODO: 实现图片下载和上传逻辑
            return GenerationResponse(
                success=False,
                error_message="图片编辑功能需要完整实现文件上传逻辑"
            )
        except Exception as e:
            return GenerationResponse(
                success=False,
                error_message=f"图片编辑失败: {str(e)}"
            )
    
    async def face_swap(self, request: GenerationRequest, source_url: str, target_url: str) -> GenerationResponse:
        """OpenAI不支持人脸替换"""
        return GenerationResponse(
            success=False,
            error_message="OpenAI DALL-E不支持人脸替换功能"
        )
    
    async def get_task_status(self, task_id: str) -> TaskStatus:
        """OpenAI是同步API，直接返回完成状态"""
        return TaskStatus.COMPLETED
    
    def calculate_cost(self, request: GenerationRequest) -> float:
        """计算OpenAI的成本"""
        # DALL-E 3的定价
        if request.params.get("model") == "dall-e-3":
            size = request.params.get("size", "1024x1024")
            if size == "1024x1024":
                return 0.04  # $0.04 per image
            elif size == "1792x1024" or size == "1024x1792":
                return 0.08  # $0.08 per image
        
        # DALL-E 2的定价
        return 0.02  # $0.02 per image